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North America Predictive Maintenance Market
No. of Pages: 151 | Report Code: TIPRE00013317 | Category: Technology, Media and Telecommunications
No. of Pages: 151 | Report Code: TIPRE00013317 | Category: Technology, Media and Telecommunications
In recent decades, the high demand to reduce increasingly expensive energy costs and shift toward a sustainable future have made energy audits important. As energy expenditure is a major concern for industries, companies are continuously checking the energy consumption and significantly aiming to minimize it. Furthermore, energy and utility companies face significant challenges, including environmental concerns, rising operating costs, increasing consumer expectations, and changing regulatory guidelines. These challenges drive the adoption of different analytical tools. This is due to the growing need for better insight into usage and performance patterns to make better decisions. Power line inspection in the energy sector is complex, primarily due to remote locations, hard-to-reach structures, and high labor costs. In contrast, predictive maintenance through unmanned aerial inspection solves this problem, as these lightweight and inexpensive drones provide high-quality visual and sensory inspection of power transmission and distribution towers, networks, pipelines, and other hard-to-reach locations. Several companies are continuously adopting predictive maintenance models to operate their assets efficiently. Hence, the rising awareness regarding the benefits associated with the energy auditing coupled with the growing renewable energy projects boost the demand for predictive maintenance across the region.
North America predictive maintenance market is segmented into major economies such as the US, Canada, and Mexico. The growing adoption of advanced technology such as machine learning, Internet of Things (IoT), acoustic monitoring, temperature technology, vibration analysis, motor circuit analysis, and other technologies is accelerating the growth of the predictive maintenance market. In addition, many players providing predictive maintenance solutions are strongly competing in pricing and offerings, which is anticipated to drive the market growth over the forecast period. It includes General Electric, Microsoft Corporation, IBM, Intel Corporation, Cisco, Honeywell, Dell Technologies Inc., Rockwell Automation Inc., C3.ai, Inc., Magneto Electric, Artesis, Embitel, Advanced Technology Services, Inc., TEKSUN INC., and Aspen Technology Inc. The growing initiatives for integrating artificial intelligence for predictive maintenance of critical assets into oil & gas applications are expected to drive market growth. The leading oil & gas companies such as ALGO8, Inc., Shell, ExxonMobil, and BP are approaching to have predictive maintenance for refineries, especially for the critical equipment, which would help in deciding using a system of processing and analyzing data for equipment health, operational data, process data and maintenance data. For instance, in May 2021, XTO Energy, a subsidiary of ExxonMobil, digitalized its Permian operations by using Microsoft Azure IoT technologies to collect data electronically and then using Azure solutions and Microsoft Dynamics 365 to analyze the data as a predictive maintenance strategy. Also, in March 2022, Software company C3 AI announced that Shell had scaled its predictive-maintenance program to monitor and maintain more than 10,000 pieces of equipment. As per the contract between the two companies, Artificial-intelligence (AI) predictive maintenance will be utilized to identify equipment degradation and failures.
Strategic insights for the North America Predictive Maintenance provides data-driven analysis of the industry landscape, including current trends, key players, and regional nuances. These insights offer actionable recommendations, enabling readers to differentiate themselves from competitors by identifying untapped segments or developing unique value propositions. Leveraging data analytics, these insights help industry players anticipate the market shifts, whether investors, manufacturers, or other stakeholders. A future-oriented perspective is essential, helping stakeholders anticipate market shifts and position themselves for long-term success in this dynamic region. Ultimately, effective strategic insights empower readers to make informed decisions that drive profitability and achieve their business objectives within the market. The geographic scope of the North America Predictive Maintenance refers to the specific areas in which a business operates and competes. Understanding local distinctions, such as diverse consumer preferences (e.g., demand for specific plug types or battery backup durations), varying economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved areas or adapting their offerings to meet local demands. A clear market focus allows for more effective resource allocation, targeted marketing campaigns, and better positioning against local competitors, ultimately driving growth in those targeted areas.North America Predictive Maintenance Strategic Insights
North America Predictive Maintenance Report Scope
Report Attribute
Details
Market size in 2022
US$ 2,077.00 Million
Market Size by 2028
US$ 8,981.43 Million
Global CAGR (2022 - 2028)
27.6%
Historical Data
2020-2021
Forecast period
2023-2028
Segments Covered
By Component
By Deployment Type
By Technique
By Industry
Regions and Countries Covered
North America
Market leaders and key company profiles
North America Predictive Maintenance Regional Insights
North America Predictive Maintenance Market Segmentation
The North America predictive maintenance market is segmented based on component, deployment type, technique, industry, and country.
General Electric Company; Hitachi, Ltd.; IBM Corporation; Microsoft Corporation; PTC Inc.; SAS Institute, Inc.; Schneider Electric SE; Software AG; Syncron AB; and TOSL Engineering Limited are the leading companies operating in the North America predictive maintenance market.
The North America Predictive Maintenance Market is valued at US$ 2,077.00 Million in 2022, it is projected to reach US$ 8,981.43 Million by 2028.
As per our report North America Predictive Maintenance Market, the market size is valued at US$ 2,077.00 Million in 2022, projecting it to reach US$ 8,981.43 Million by 2028. This translates to a CAGR of approximately 27.6% during the forecast period.
The North America Predictive Maintenance Market report typically cover these key segments-
The historic period, base year, and forecast period can vary slightly depending on the specific market research report. However, for the North America Predictive Maintenance Market report:
The North America Predictive Maintenance Market is populated by several key players, each contributing to its growth and innovation. Some of the major players include:
The North America Predictive Maintenance Market report is valuable for diverse stakeholders, including:
Essentially, anyone involved in or considering involvement in the North America Predictive Maintenance Market value chain can benefit from the information contained in a comprehensive market report.